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Statistical analysis of the SNR loss due to imperfect time reversal

Abstract : Prefiltering that is, linear processing at the transmitter side of a link, is often used in communication in order to simplify receivers, or to improve performance. Prefiltering requires at least a knowledge of the channel state. When this information is estimated, imperfect estimations impact achievable performance. Time reversal, that is a special kind of prefiltering, where channel is estimated at transmitter side during a training phase, is analyzed, in particular regarding the pattern of channel estimation errors. Results show that a loss in SNR is incurred, and a symbol error probability floor appears, depending on the variance of estimation errors. Exact theoretical expressions were derived for the SNR loss as well as symbol error probability.
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https://hal-supelec.archives-ouvertes.fr/hal-01096545
Contributor : Catherine Magnet <>
Submitted on : Wednesday, December 17, 2014 - 4:24:51 PM
Last modification on : Thursday, March 29, 2018 - 11:06:05 AM

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G.C. Ferrante, Jocelyn Fiorina, Maria-Gabriella Di Benedetto. Statistical analysis of the SNR loss due to imperfect time reversal. IEEE ICUWB 2014, Sep 2014, Paris, France. pp.36 - 40, ⟨10.1109/ICUWB.2014.6958947⟩. ⟨hal-01096545⟩

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